Awesome

scany

Overview

Go favors simplicity, and it's pretty common to work with a database via driver directly without any ORM. It provides great control and efficiency in your queries, but here is a problem: you need to manually iterate over database rows and scan data from all columns into a corresponding destination. It can be error-prone verbose and just tedious. scany aims to solve this problem. It allows developers to scan complex data from a database into Go structs and other composite types with just one function call and don't bother with rows iteration.

scany isn't limited to any specific database. It integrates with database/sql, so any database with database/sql driver is supported. It also works with pgx library native interface. Apart from the out-of-the-box support, scany can be easily extended to work with almost any database library.

Note that scany isn't an ORM. First of all, it works only in one direction: it scans data into Go objects from the database, but it can't build database queries based on those objects. Secondly, it doesn't know anything about relations between objects e.g: one to many, many to many.

Features

• Custom database column name via struct tag
• Reusing structs via nesting or embedding
• NULLs and custom types support
• Omitted struct fields
• Apart from structs, support for maps and Go primitive types as the destination
• Override default settings

Install

go get github.com/georgysavva/scany/v2

How to use with database/sql

package main

import (
	"context"
	"database/sql"

	"github.com/georgysavva/scany/v2/sqlscan"
)

type User struct {
	ID    string
	Name  string
	Email string
	Age   int
}

func main() {
	ctx := context.Background()
	db, _ := sql.Open("postgres", "example-connection-url")

	var users []*User
	sqlscan.Select(ctx, db, &users, `SELECT id, name, email, age FROM users`)
	// users variable now contains data from all rows.
}

Use sqlscan package to work with database/sql standard library.

How to use with pgx native interface

package main

import (
	"context"

	"github.com/jackc/pgx/v5/pgxpool"

	"github.com/georgysavva/scany/v2/pgxscan"
)

type User struct {
	ID    string
	Name  string
	Email string
	Age   int
}

func main() {
	ctx := context.Background()
	db, _ := pgxpool.New(ctx, "example-connection-url")

	var users []*User
	pgxscan.Select(ctx, db, &users, `SELECT id, name, email, age FROM users`)
	// users variable now contains data from all rows.
}

Use pgxscan package to work with pgx library native interface.

How to use with other database libraries

Use dbscan package that works with an abstract database, and can be integrated with any library that has a concept of rows. This particular package implements core scany features and contains all the logic. Both sqlscan and pgxscan use dbscan internally.

Comparison with sqlx

• sqlx only works with database/sql standard library. scany isn't limited to database/sql. It also supports pgx native interface and can be extended to work with any database library independent of database/sql
• In terms of scanning and mapping abilities, scany provides all features of sqlx
• scany has a simpler API and much fewer concepts, so it's easier to start working with

Project documentation

For detailed project documentation see GitHub Wiki.

How to contribute

• If you have an idea or a question, just post a pull request or an issue. Every feedback is appreciated.
• If you want to help but don't know-how. All issues that you can work on are marked as "help wanted". Discover all "help wanted" issues here.

License

This project is licensed under the terms of the MIT license.